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<div class="header">
  <div class="summary">
<a href="#nested-classes">Classes</a> &#124;
<a href="#define-members">Macros</a>  </div>
  <div class="headertitle">
<div class="title">depthNet<div class="ingroups"><a class="el" href="group__deepVision.html">DNN Vision Library (jetson-inference)</a></div></div>  </div>
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<p>Mono depth estimation from monocular images.  
<a href="#details">More...</a></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:classdepthNet"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#classdepthNet">depthNet</a></td></tr>
<tr class="memdesc:classdepthNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Mono depth estimation from monocular images, using TensorRT.  <a href="group__depthNet.html#classdepthNet">More...</a><br /></td></tr>
<tr class="separator:classdepthNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
Macros</h2></td></tr>
<tr class="memitem:gab90d8bf9344740081e4c51c014e73c52"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#gab90d8bf9344740081e4c51c014e73c52">DEPTHNET_DEFAULT_INPUT</a>&#160;&#160;&#160;&quot;input_0&quot;</td></tr>
<tr class="memdesc:gab90d8bf9344740081e4c51c014e73c52"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of default input blob for <a class="el" href="group__depthNet.html#classdepthNet" title="Mono depth estimation from monocular images, using TensorRT.">depthNet</a> model.  <a href="group__depthNet.html#gab90d8bf9344740081e4c51c014e73c52">More...</a><br /></td></tr>
<tr class="separator:gab90d8bf9344740081e4c51c014e73c52"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gadb112003697f3e8ecf1b40fb1a082ca8"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#gadb112003697f3e8ecf1b40fb1a082ca8">DEPTHNET_DEFAULT_OUTPUT</a>&#160;&#160;&#160;&quot;output_0&quot;</td></tr>
<tr class="memdesc:gadb112003697f3e8ecf1b40fb1a082ca8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Name of default output blob for <a class="el" href="group__depthNet.html#classdepthNet" title="Mono depth estimation from monocular images, using TensorRT.">depthNet</a> model.  <a href="group__depthNet.html#gadb112003697f3e8ecf1b40fb1a082ca8">More...</a><br /></td></tr>
<tr class="separator:gadb112003697f3e8ecf1b40fb1a082ca8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga911dc4ffefb7f5e9f88bead199492bd8"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ga911dc4ffefb7f5e9f88bead199492bd8">DEPTHNET_MODEL_TYPE</a>&#160;&#160;&#160;&quot;monodepth&quot;</td></tr>
<tr class="memdesc:ga911dc4ffefb7f5e9f88bead199492bd8"><td class="mdescLeft">&#160;</td><td class="mdescRight">The model type for <a class="el" href="group__depthNet.html#classdepthNet" title="Mono depth estimation from monocular images, using TensorRT.">depthNet</a> in data/networks/models.json.  <a href="group__depthNet.html#ga911dc4ffefb7f5e9f88bead199492bd8">More...</a><br /></td></tr>
<tr class="separator:ga911dc4ffefb7f5e9f88bead199492bd8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaf7fedcbd0339376e367939bbcecdd884"><td class="memItemLeft" align="right" valign="top">#define&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#gaf7fedcbd0339376e367939bbcecdd884">DEPTHNET_USAGE_STRING</a></td></tr>
<tr class="memdesc:gaf7fedcbd0339376e367939bbcecdd884"><td class="mdescLeft">&#160;</td><td class="mdescRight">Command-line options able to be passed to <a class="el" href="group__depthNet.html#ada432dd3799aaaa621330be631330165" title="Load a pre-trained model.">depthNet::Create()</a>  <a href="group__depthNet.html#gaf7fedcbd0339376e367939bbcecdd884">More...</a><br /></td></tr>
<tr class="separator:gaf7fedcbd0339376e367939bbcecdd884"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>Mono depth estimation from monocular images. </p>
<hr/><h2 class="groupheader">Class Documentation</h2>
<a name="classdepthNet" id="classdepthNet"></a>
<h2 class="memtitle"><span class="permalink"><a href="#classdepthNet">&#9670;&nbsp;</a></span>depthNet</h2>

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          <td class="memname">class depthNet</td>
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<div class="textblock"><p>Mono depth estimation from monocular images, using TensorRT. </p>
</div><div class="dynheader">
Inheritance diagram for depthNet:</div>
<div class="dyncontent">
 <div class="center">
  <img src="group__depthNet.png" usemap="#depthNet_map" alt=""/>
  <map id="depthNet_map" name="depthNet_map">
<area href="group__tensorNet.html#classtensorNet" title="Abstract class for loading a tensor network with TensorRT." alt="tensorNet" shape="rect" coords="0,0,66,24"/>
  </map>
</div></div>
<table class="memberdecls">
<tr><td colspan="2"><h3>Public Types</h3></td></tr>
<tr class="memitem:a79173edc788bdf267e4622ad0f52e476"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476">VisualizationFlags</a> { <a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476a8e00a42ee2103dc6081b8886553b9c91">VISUALIZE_INPUT</a> = (1 &lt;&lt; 0), 
<a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476a8675b85af577753f73916d1087ff3c4e">VISUALIZE_DEPTH</a> = (1 &lt;&lt; 1)
 }</td></tr>
<tr class="memdesc:a79173edc788bdf267e4622ad0f52e476"><td class="mdescLeft">&#160;</td><td class="mdescRight">Visualization flags.  <a href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476">More...</a><br /></td></tr>
<tr class="separator:a79173edc788bdf267e4622ad0f52e476"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr><td colspan="2"><h3>Public Member Functions</h3></td></tr>
<tr class="memitem:a0a627d1a246d2eaf92e5ee3c33b8e964"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a0a627d1a246d2eaf92e5ee3c33b8e964">~depthNet</a> ()</td></tr>
<tr class="memdesc:a0a627d1a246d2eaf92e5ee3c33b8e964"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destroy.  <a href="group__depthNet.html#a0a627d1a246d2eaf92e5ee3c33b8e964">More...</a><br /></td></tr>
<tr class="separator:a0a627d1a246d2eaf92e5ee3c33b8e964"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afca2eec512a7d7945a9e404eb8e40a56"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:afca2eec512a7d7945a9e404eb8e40a56"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56">Process</a> (T *image, uint32_t width, uint32_t height)</td></tr>
<tr class="memdesc:afca2eec512a7d7945a9e404eb8e40a56"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute the depth field from a monocular RGB/RGBA image.  <a href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56">More...</a><br /></td></tr>
<tr class="separator:afca2eec512a7d7945a9e404eb8e40a56"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a19fc522018f37ee1fdf04c3b7bfd16bf"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a19fc522018f37ee1fdf04c3b7bfd16bf">Process</a> (void *input, uint32_t width, uint32_t height, <a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> format)</td></tr>
<tr class="memdesc:a19fc522018f37ee1fdf04c3b7bfd16bf"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute the depth field from a monocular RGB/RGBA image.  <a href="group__depthNet.html#a19fc522018f37ee1fdf04c3b7bfd16bf">More...</a><br /></td></tr>
<tr class="separator:a19fc522018f37ee1fdf04c3b7bfd16bf"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2e1120d461756c4cab61cde797e43d0f"><td class="memTemplParams" colspan="2">template&lt;typename T1 , typename T2 &gt; </td></tr>
<tr class="memitem:a2e1120d461756c4cab61cde797e43d0f"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a2e1120d461756c4cab61cde797e43d0f">Process</a> (T1 *input, T2 *output, uint32_t width, uint32_t height, <a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a> colormap=<a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a0d0fcdcd836507523dea555ce4a89632">COLORMAP_VIRIDIS_INVERTED</a>, <a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a> filter=<a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a>)</td></tr>
<tr class="memdesc:a2e1120d461756c4cab61cde797e43d0f"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap.  <a href="group__depthNet.html#a2e1120d461756c4cab61cde797e43d0f">More...</a><br /></td></tr>
<tr class="separator:a2e1120d461756c4cab61cde797e43d0f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abe12a22478d961bc40e93fb974ab0ea9"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#abe12a22478d961bc40e93fb974ab0ea9">Process</a> (void *input, <a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> input_format, void *output, <a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> output_format, uint32_t width, uint32_t height, <a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a> colormap=<a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a0d0fcdcd836507523dea555ce4a89632">COLORMAP_VIRIDIS_INVERTED</a>, <a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a> filter=<a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a>)</td></tr>
<tr class="memdesc:abe12a22478d961bc40e93fb974ab0ea9"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap.  <a href="group__depthNet.html#abe12a22478d961bc40e93fb974ab0ea9">More...</a><br /></td></tr>
<tr class="separator:abe12a22478d961bc40e93fb974ab0ea9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aae07945d10ca9881850400600cf10d08"><td class="memTemplParams" colspan="2">template&lt;typename T1 , typename T2 &gt; </td></tr>
<tr class="memitem:aae07945d10ca9881850400600cf10d08"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__depthNet.html#aae07945d10ca9881850400600cf10d08">Process</a> (T1 *input, uint32_t input_width, uint32_t input_height, T2 *output, uint32_t output_width, uint32_t output_height, <a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a> colormap=<a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a>, <a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a> filter=<a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a>)</td></tr>
<tr class="memdesc:aae07945d10ca9881850400600cf10d08"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap.  <a href="group__depthNet.html#aae07945d10ca9881850400600cf10d08">More...</a><br /></td></tr>
<tr class="separator:aae07945d10ca9881850400600cf10d08"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae4c0f50fd02fa33a9fde9663d2e9644b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ae4c0f50fd02fa33a9fde9663d2e9644b">Process</a> (void *input, uint32_t input_width, uint32_t input_height, <a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> input_format, void *output, uint32_t output_width, uint32_t output_height, <a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> output_format, <a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a> colormap=<a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a>, <a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a> filter=<a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a>)</td></tr>
<tr class="memdesc:ae4c0f50fd02fa33a9fde9663d2e9644b"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap.  <a href="group__depthNet.html#ae4c0f50fd02fa33a9fde9663d2e9644b">More...</a><br /></td></tr>
<tr class="separator:ae4c0f50fd02fa33a9fde9663d2e9644b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae7d152624a7678216ac148e6d025e963"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
<tr class="memitem:ae7d152624a7678216ac148e6d025e963"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963">Visualize</a> (T *output, uint32_t width, uint32_t height, <a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a> colormap=<a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a>, <a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a> filter=<a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a>)</td></tr>
<tr class="memdesc:ae7d152624a7678216ac148e6d025e963"><td class="mdescLeft">&#160;</td><td class="mdescRight">Visualize the raw depth field into a colorized RGB/RGBA depth map.  <a href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963">More...</a><br /></td></tr>
<tr class="separator:ae7d152624a7678216ac148e6d025e963"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9c9929c2de3c67133fc523814e380836"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a9c9929c2de3c67133fc523814e380836">Visualize</a> (void *output, uint32_t width, uint32_t height, <a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a> format, <a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a> colormap=<a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a>, <a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a> filter=<a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a>)</td></tr>
<tr class="memdesc:a9c9929c2de3c67133fc523814e380836"><td class="mdescLeft">&#160;</td><td class="mdescRight">Visualize the raw depth field into a colorized RGB/RGBA depth map.  <a href="group__depthNet.html#a9c9929c2de3c67133fc523814e380836">More...</a><br /></td></tr>
<tr class="separator:a9c9929c2de3c67133fc523814e380836"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a96554b8c9ba3e710de7fe45f9edc8fc7"><td class="memItemLeft" align="right" valign="top">float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a96554b8c9ba3e710de7fe45f9edc8fc7">GetDepthField</a> () const</td></tr>
<tr class="memdesc:a96554b8c9ba3e710de7fe45f9edc8fc7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the raw depth field.  <a href="group__depthNet.html#a96554b8c9ba3e710de7fe45f9edc8fc7">More...</a><br /></td></tr>
<tr class="separator:a96554b8c9ba3e710de7fe45f9edc8fc7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a67957d14b680b3d2ef001a55727e3f1d"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a67957d14b680b3d2ef001a55727e3f1d">GetDepthFieldWidth</a> () const</td></tr>
<tr class="memdesc:a67957d14b680b3d2ef001a55727e3f1d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the width of the depth field.  <a href="group__depthNet.html#a67957d14b680b3d2ef001a55727e3f1d">More...</a><br /></td></tr>
<tr class="separator:a67957d14b680b3d2ef001a55727e3f1d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a5080fdfd97015e8e77aba3e33275ac37"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a5080fdfd97015e8e77aba3e33275ac37">GetDepthFieldHeight</a> () const</td></tr>
<tr class="memdesc:a5080fdfd97015e8e77aba3e33275ac37"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the height of the depth field.  <a href="group__depthNet.html#a5080fdfd97015e8e77aba3e33275ac37">More...</a><br /></td></tr>
<tr class="separator:a5080fdfd97015e8e77aba3e33275ac37"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9a9695fc22a0468a1688cfeaf806ce8b"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b">SavePointCloud</a> (const char *filename)</td></tr>
<tr class="memdesc:a9a9695fc22a0468a1688cfeaf806ce8b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Extract and save the point cloud to a PCD file (depth only).  <a href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b">More...</a><br /></td></tr>
<tr class="separator:a9a9695fc22a0468a1688cfeaf806ce8b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad01be46480fa316d3f67fe12a8edf35a"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ad01be46480fa316d3f67fe12a8edf35a">SavePointCloud</a> (const char *filename, float *rgba, uint32_t width, uint32_t height)</td></tr>
<tr class="memdesc:ad01be46480fa316d3f67fe12a8edf35a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Extract and save the point cloud to a PCD file (depth + RGB).  <a href="group__depthNet.html#ad01be46480fa316d3f67fe12a8edf35a">More...</a><br /></td></tr>
<tr class="separator:ad01be46480fa316d3f67fe12a8edf35a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac6c74dcfdf29aa9dee4c8315cd29ae93"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ac6c74dcfdf29aa9dee4c8315cd29ae93">SavePointCloud</a> (const char *filename, float *rgba, uint32_t width, uint32_t height, const float2 &amp;focalLength, const float2 &amp;principalPoint)</td></tr>
<tr class="memdesc:ac6c74dcfdf29aa9dee4c8315cd29ae93"><td class="mdescLeft">&#160;</td><td class="mdescRight">Extract and save the point cloud to a PCD file (depth + RGB).  <a href="group__depthNet.html#ac6c74dcfdf29aa9dee4c8315cd29ae93">More...</a><br /></td></tr>
<tr class="separator:ac6c74dcfdf29aa9dee4c8315cd29ae93"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a76b1e562c92c39f1eb99e94c35672c2f"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a76b1e562c92c39f1eb99e94c35672c2f">SavePointCloud</a> (const char *filename, float *rgba, uint32_t width, uint32_t height, const float intrinsicCalibration[3][3])</td></tr>
<tr class="memdesc:a76b1e562c92c39f1eb99e94c35672c2f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Extract and save the point cloud to a PCD file (depth + RGB).  <a href="group__depthNet.html#a76b1e562c92c39f1eb99e94c35672c2f">More...</a><br /></td></tr>
<tr class="separator:a76b1e562c92c39f1eb99e94c35672c2f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a677b20759a8a435528a6d42ce035eda2"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a677b20759a8a435528a6d42ce035eda2">SavePointCloud</a> (const char *filename, float *rgba, uint32_t width, uint32_t height, const char *intrinsicCalibrationPath)</td></tr>
<tr class="memdesc:a677b20759a8a435528a6d42ce035eda2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Extract and save the point cloud to a PCD file (depth + RGB).  <a href="group__depthNet.html#a677b20759a8a435528a6d42ce035eda2">More...</a><br /></td></tr>
<tr class="separator:a677b20759a8a435528a6d42ce035eda2"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_methods_group__tensorNet"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_group__tensorNet')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="group__tensorNet.html#classtensorNet">tensorNet</a></td></tr>
<tr class="memitem:ad19aafbfa262f9b8ffb0bff561f4d7f7 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ad19aafbfa262f9b8ffb0bff561f4d7f7">~tensorNet</a> ()</td></tr>
<tr class="memdesc:ad19aafbfa262f9b8ffb0bff561f4d7f7 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Destory.  <a href="group__tensorNet.html#ad19aafbfa262f9b8ffb0bff561f4d7f7">More...</a><br /></td></tr>
<tr class="separator:ad19aafbfa262f9b8ffb0bff561f4d7f7 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2e63d4670461814bd863ee0d9bd41526 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2e63d4670461814bd863ee0d9bd41526">LoadNetwork</a> (const char *prototxt, const char *model, const char *mean=NULL, const char *input_blob=&quot;data&quot;, const char *output_blob=&quot;prob&quot;, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:a2e63d4670461814bd863ee0d9bd41526 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance.  <a href="group__tensorNet.html#a2e63d4670461814bd863ee0d9bd41526">More...</a><br /></td></tr>
<tr class="separator:a2e63d4670461814bd863ee0d9bd41526 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0a06ffd12b465f39160f4a6925cccd9f inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a0a06ffd12b465f39160f4a6925cccd9f">LoadNetwork</a> (const char *prototxt, const char *model, const char *mean, const char *input_blob, const std::vector&lt; std::string &gt; &amp;output_blobs, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:a0a06ffd12b465f39160f4a6925cccd9f inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance with multiple output layers.  <a href="group__tensorNet.html#a0a06ffd12b465f39160f4a6925cccd9f">More...</a><br /></td></tr>
<tr class="separator:a0a06ffd12b465f39160f4a6925cccd9f inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a68a6f21680ae91bc51bea376221d1c48 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a68a6f21680ae91bc51bea376221d1c48">LoadNetwork</a> (const char *prototxt, const char *model, const char *mean, const std::vector&lt; std::string &gt; &amp;input_blobs, const std::vector&lt; std::string &gt; &amp;output_blobs, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:a68a6f21680ae91bc51bea376221d1c48 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance with multiple input layers.  <a href="group__tensorNet.html#a68a6f21680ae91bc51bea376221d1c48">More...</a><br /></td></tr>
<tr class="separator:a68a6f21680ae91bc51bea376221d1c48 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a168c7f75c9fd6d264afd016e144f3878 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a168c7f75c9fd6d264afd016e144f3878">LoadNetwork</a> (const char *prototxt, const char *model, const char *mean, const char *input_blob, const <a class="el" href="tensorNet_8h.html#a64c8f3dfeacfa962ff9e23c586aedd1b">Dims3</a> &amp;input_dims, const std::vector&lt; std::string &gt; &amp;output_blobs, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:a168c7f75c9fd6d264afd016e144f3878 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance (this variant is used for UFF models)  <a href="group__tensorNet.html#a168c7f75c9fd6d264afd016e144f3878">More...</a><br /></td></tr>
<tr class="separator:a168c7f75c9fd6d264afd016e144f3878 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8f34a6001c2da01662b85670de9246e4 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a8f34a6001c2da01662b85670de9246e4">LoadNetwork</a> (const char *prototxt, const char *model, const char *mean, const std::vector&lt; std::string &gt; &amp;input_blobs, const std::vector&lt; <a class="el" href="tensorNet_8h.html#a64c8f3dfeacfa962ff9e23c586aedd1b">Dims3</a> &gt; &amp;input_dims, const std::vector&lt; std::string &gt; &amp;output_blobs, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true, nvinfer1::IInt8Calibrator *calibrator=NULL, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:a8f34a6001c2da01662b85670de9246e4 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance with multiple input layers (used for UFF models)  <a href="group__tensorNet.html#a8f34a6001c2da01662b85670de9246e4">More...</a><br /></td></tr>
<tr class="separator:a8f34a6001c2da01662b85670de9246e4 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acb8076f6ab8d13b6507140826cf438d8 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#acb8076f6ab8d13b6507140826cf438d8">LoadEngine</a> (const char *engine_filename, const std::vector&lt; std::string &gt; &amp;input_blobs, const std::vector&lt; std::string &gt; &amp;output_blobs, nvinfer1::IPluginFactory *pluginFactory=NULL, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:acb8076f6ab8d13b6507140826cf438d8 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a network instance from a serialized engine plan file.  <a href="group__tensorNet.html#acb8076f6ab8d13b6507140826cf438d8">More...</a><br /></td></tr>
<tr class="separator:acb8076f6ab8d13b6507140826cf438d8 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaa4efe2b8d91fe914a22c87b725ac063 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#aaa4efe2b8d91fe914a22c87b725ac063">LoadEngine</a> (char *engine_stream, size_t engine_size, const std::vector&lt; std::string &gt; &amp;input_blobs, const std::vector&lt; std::string &gt; &amp;output_blobs, nvinfer1::IPluginFactory *pluginFactory=NULL, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:aaa4efe2b8d91fe914a22c87b725ac063 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a network instance from a serialized engine plan file.  <a href="group__tensorNet.html#aaa4efe2b8d91fe914a22c87b725ac063">More...</a><br /></td></tr>
<tr class="separator:aaa4efe2b8d91fe914a22c87b725ac063 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2d6fe13696a49d61e9abfa9729153e65 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2d6fe13696a49d61e9abfa9729153e65">LoadEngine</a> (nvinfer1::ICudaEngine *engine, const std::vector&lt; std::string &gt; &amp;input_blobs, const std::vector&lt; std::string &gt; &amp;output_blobs, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, cudaStream_t stream=NULL)</td></tr>
<tr class="memdesc:a2d6fe13696a49d61e9abfa9729153e65 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load network resources from an existing TensorRT engine instance.  <a href="group__tensorNet.html#a2d6fe13696a49d61e9abfa9729153e65">More...</a><br /></td></tr>
<tr class="separator:a2d6fe13696a49d61e9abfa9729153e65 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a89755f8e4b72ead7460deed394967386 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a89755f8e4b72ead7460deed394967386">LoadEngine</a> (const char *filename, char **stream, size_t *size)</td></tr>
<tr class="memdesc:a89755f8e4b72ead7460deed394967386 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a serialized engine plan file into memory.  <a href="group__tensorNet.html#a89755f8e4b72ead7460deed394967386">More...</a><br /></td></tr>
<tr class="separator:a89755f8e4b72ead7460deed394967386 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3413eb0ad4f240f457f192f39e2e03e8 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a3413eb0ad4f240f457f192f39e2e03e8">EnableLayerProfiler</a> ()</td></tr>
<tr class="memdesc:a3413eb0ad4f240f457f192f39e2e03e8 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Manually enable layer profiling times.  <a href="group__tensorNet.html#a3413eb0ad4f240f457f192f39e2e03e8">More...</a><br /></td></tr>
<tr class="separator:a3413eb0ad4f240f457f192f39e2e03e8 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae49f74ff83e46112a30318fa0576cace inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ae49f74ff83e46112a30318fa0576cace">EnableDebug</a> ()</td></tr>
<tr class="memdesc:ae49f74ff83e46112a30318fa0576cace inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Manually enable debug messages and synchronization.  <a href="group__tensorNet.html#ae49f74ff83e46112a30318fa0576cace">More...</a><br /></td></tr>
<tr class="separator:ae49f74ff83e46112a30318fa0576cace inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7d0ec0d8504ac8b26c5ab4a6136599ca inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a7d0ec0d8504ac8b26c5ab4a6136599ca">AllowGPUFallback</a> () const</td></tr>
<tr class="memdesc:a7d0ec0d8504ac8b26c5ab4a6136599ca inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return true if GPU fallback is enabled.  <a href="group__tensorNet.html#a7d0ec0d8504ac8b26c5ab4a6136599ca">More...</a><br /></td></tr>
<tr class="separator:a7d0ec0d8504ac8b26c5ab4a6136599ca inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a92bb737172d26bda5f67d15346a02514 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a92bb737172d26bda5f67d15346a02514">GetDevice</a> () const</td></tr>
<tr class="memdesc:a92bb737172d26bda5f67d15346a02514 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the device being used for execution.  <a href="group__tensorNet.html#a92bb737172d26bda5f67d15346a02514">More...</a><br /></td></tr>
<tr class="separator:a92bb737172d26bda5f67d15346a02514 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afb38b5f171025e987a00214cc4379ca9 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#afb38b5f171025e987a00214cc4379ca9">GetPrecision</a> () const</td></tr>
<tr class="memdesc:afb38b5f171025e987a00214cc4379ca9 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the type of precision being used.  <a href="group__tensorNet.html#afb38b5f171025e987a00214cc4379ca9">More...</a><br /></td></tr>
<tr class="separator:afb38b5f171025e987a00214cc4379ca9 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6b8e8dba05bc5c677027913d8c64f259 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a6b8e8dba05bc5c677027913d8c64f259">IsPrecision</a> (<a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> type) const</td></tr>
<tr class="memdesc:a6b8e8dba05bc5c677027913d8c64f259 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Check if a particular precision is being used.  <a href="group__tensorNet.html#a6b8e8dba05bc5c677027913d8c64f259">More...</a><br /></td></tr>
<tr class="separator:a6b8e8dba05bc5c677027913d8c64f259 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a34e350ec6185277ac09ae55a79403e62 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">cudaStream_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a34e350ec6185277ac09ae55a79403e62">GetStream</a> () const</td></tr>
<tr class="memdesc:a34e350ec6185277ac09ae55a79403e62 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the stream that the device is operating on.  <a href="group__tensorNet.html#a34e350ec6185277ac09ae55a79403e62">More...</a><br /></td></tr>
<tr class="separator:a34e350ec6185277ac09ae55a79403e62 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a78cecfb7505be0ea59d29041abc85cbb inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">cudaStream_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a78cecfb7505be0ea59d29041abc85cbb">CreateStream</a> (bool nonBlocking=true)</td></tr>
<tr class="memdesc:a78cecfb7505be0ea59d29041abc85cbb inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create and use a new stream for execution.  <a href="group__tensorNet.html#a78cecfb7505be0ea59d29041abc85cbb">More...</a><br /></td></tr>
<tr class="separator:a78cecfb7505be0ea59d29041abc85cbb inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a679b177784c85bfdba63dcd1008ff633 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a679b177784c85bfdba63dcd1008ff633">SetStream</a> (cudaStream_t stream)</td></tr>
<tr class="memdesc:a679b177784c85bfdba63dcd1008ff633 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the stream that the device is operating on.  <a href="group__tensorNet.html#a679b177784c85bfdba63dcd1008ff633">More...</a><br /></td></tr>
<tr class="separator:a679b177784c85bfdba63dcd1008ff633 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a624881afe27acd2b2fff0f0f75308ea2 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a624881afe27acd2b2fff0f0f75308ea2">GetPrototxtPath</a> () const</td></tr>
<tr class="memdesc:a624881afe27acd2b2fff0f0f75308ea2 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the path to the network prototxt file.  <a href="group__tensorNet.html#a624881afe27acd2b2fff0f0f75308ea2">More...</a><br /></td></tr>
<tr class="separator:a624881afe27acd2b2fff0f0f75308ea2 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac74d7f0571b7782b945ff85fd6894044 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ac74d7f0571b7782b945ff85fd6894044">GetModelPath</a> () const</td></tr>
<tr class="memdesc:ac74d7f0571b7782b945ff85fd6894044 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the full path to model file, including the filename.  <a href="group__tensorNet.html#ac74d7f0571b7782b945ff85fd6894044">More...</a><br /></td></tr>
<tr class="separator:ac74d7f0571b7782b945ff85fd6894044 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a03252bed041613fc1afb9d3cbb99663d inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a03252bed041613fc1afb9d3cbb99663d">GetModelFilename</a> () const</td></tr>
<tr class="memdesc:a03252bed041613fc1afb9d3cbb99663d inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the filename of the file, excluding the directory.  <a href="group__tensorNet.html#a03252bed041613fc1afb9d3cbb99663d">More...</a><br /></td></tr>
<tr class="separator:a03252bed041613fc1afb9d3cbb99663d inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:acfa7f1f01b46f658ffc96f8a002e8d48 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="group__tensorNet.html#ga5d4597e0e7beae7133d542e220528725">modelType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#acfa7f1f01b46f658ffc96f8a002e8d48">GetModelType</a> () const</td></tr>
<tr class="memdesc:acfa7f1f01b46f658ffc96f8a002e8d48 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the format of the network model.  <a href="group__tensorNet.html#acfa7f1f01b46f658ffc96f8a002e8d48">More...</a><br /></td></tr>
<tr class="separator:acfa7f1f01b46f658ffc96f8a002e8d48 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0a09d691ea080bd9734c5782c8fff6fd inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a0a09d691ea080bd9734c5782c8fff6fd">IsModelType</a> (<a class="el" href="group__tensorNet.html#ga5d4597e0e7beae7133d542e220528725">modelType</a> type) const</td></tr>
<tr class="memdesc:a0a09d691ea080bd9734c5782c8fff6fd inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return true if the model is of the specified format.  <a href="group__tensorNet.html#a0a09d691ea080bd9734c5782c8fff6fd">More...</a><br /></td></tr>
<tr class="separator:a0a09d691ea080bd9734c5782c8fff6fd inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac583b8de1dd64b47338b4a3eb42ac166 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ac583b8de1dd64b47338b4a3eb42ac166">GetInputLayers</a> () const</td></tr>
<tr class="memdesc:ac583b8de1dd64b47338b4a3eb42ac166 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the number of input layers to the network.  <a href="group__tensorNet.html#ac583b8de1dd64b47338b4a3eb42ac166">More...</a><br /></td></tr>
<tr class="separator:ac583b8de1dd64b47338b4a3eb42ac166 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2dcc770a7215e2e76a8d520a36689e16 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2dcc770a7215e2e76a8d520a36689e16">GetOutputLayers</a> () const</td></tr>
<tr class="memdesc:a2dcc770a7215e2e76a8d520a36689e16 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the number of output layers to the network.  <a href="group__tensorNet.html#a2dcc770a7215e2e76a8d520a36689e16">More...</a><br /></td></tr>
<tr class="separator:a2dcc770a7215e2e76a8d520a36689e16 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:adcfe61596f291e75a87d36c3771f25df inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="tensorNet_8h.html#a64c8f3dfeacfa962ff9e23c586aedd1b">Dims3</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#adcfe61596f291e75a87d36c3771f25df">GetInputDims</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:adcfe61596f291e75a87d36c3771f25df inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the dimensions of network input layer.  <a href="group__tensorNet.html#adcfe61596f291e75a87d36c3771f25df">More...</a><br /></td></tr>
<tr class="separator:adcfe61596f291e75a87d36c3771f25df inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2d75ef6f579d1a71ff472bfafd0b7795 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2d75ef6f579d1a71ff472bfafd0b7795">GetInputWidth</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a2d75ef6f579d1a71ff472bfafd0b7795 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the width of network input layer.  <a href="group__tensorNet.html#a2d75ef6f579d1a71ff472bfafd0b7795">More...</a><br /></td></tr>
<tr class="separator:a2d75ef6f579d1a71ff472bfafd0b7795 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a214a92c41dcdcb58b3cd8496aac0857a inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a214a92c41dcdcb58b3cd8496aac0857a">GetInputHeight</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a214a92c41dcdcb58b3cd8496aac0857a inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the height of network input layer.  <a href="group__tensorNet.html#a214a92c41dcdcb58b3cd8496aac0857a">More...</a><br /></td></tr>
<tr class="separator:a214a92c41dcdcb58b3cd8496aac0857a inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2c80d46f8a01335e77e41023544102c9 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2c80d46f8a01335e77e41023544102c9">GetInputSize</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a2c80d46f8a01335e77e41023544102c9 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the size (in bytes) of network input layer.  <a href="group__tensorNet.html#a2c80d46f8a01335e77e41023544102c9">More...</a><br /></td></tr>
<tr class="separator:a2c80d46f8a01335e77e41023544102c9 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3a8851513971d11746231d217f57b69f inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a3a8851513971d11746231d217f57b69f">GetInputPtr</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a3a8851513971d11746231d217f57b69f inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the CUDA pointer to the input layer's memory.  <a href="group__tensorNet.html#a3a8851513971d11746231d217f57b69f">More...</a><br /></td></tr>
<tr class="separator:a3a8851513971d11746231d217f57b69f inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a77703f2a7b59f836c93ae28811e22cb0 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="tensorNet_8h.html#a64c8f3dfeacfa962ff9e23c586aedd1b">Dims3</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a77703f2a7b59f836c93ae28811e22cb0">GetOutputDims</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a77703f2a7b59f836c93ae28811e22cb0 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the dimensions of network output layer.  <a href="group__tensorNet.html#a77703f2a7b59f836c93ae28811e22cb0">More...</a><br /></td></tr>
<tr class="separator:a77703f2a7b59f836c93ae28811e22cb0 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a09d63a8fd906c99f8158bf9460a83c02 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a09d63a8fd906c99f8158bf9460a83c02">GetOutputWidth</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a09d63a8fd906c99f8158bf9460a83c02 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the width of network output layer.  <a href="group__tensorNet.html#a09d63a8fd906c99f8158bf9460a83c02">More...</a><br /></td></tr>
<tr class="separator:a09d63a8fd906c99f8158bf9460a83c02 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a613679e8ee5315f3b5b16a39011ba76e inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a613679e8ee5315f3b5b16a39011ba76e">GetOutputHeight</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a613679e8ee5315f3b5b16a39011ba76e inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the height of network output layer.  <a href="group__tensorNet.html#a613679e8ee5315f3b5b16a39011ba76e">More...</a><br /></td></tr>
<tr class="separator:a613679e8ee5315f3b5b16a39011ba76e inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae1486438dcdbe0d7f5e88e5336a42efa inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ae1486438dcdbe0d7f5e88e5336a42efa">GetOutputSize</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:ae1486438dcdbe0d7f5e88e5336a42efa inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the size (in bytes) of network output layer.  <a href="group__tensorNet.html#ae1486438dcdbe0d7f5e88e5336a42efa">More...</a><br /></td></tr>
<tr class="separator:ae1486438dcdbe0d7f5e88e5336a42efa inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2e5a4207d90828c31255846b11a431ea inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2e5a4207d90828c31255846b11a431ea">GetOutputPtr</a> (uint32_t layer=0) const</td></tr>
<tr class="memdesc:a2e5a4207d90828c31255846b11a431ea inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the CUDA pointer to the output memory.  <a href="group__tensorNet.html#a2e5a4207d90828c31255846b11a431ea">More...</a><br /></td></tr>
<tr class="separator:a2e5a4207d90828c31255846b11a431ea inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a9dd2db089176ae6878e9ea7dd8fd80c3 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a9dd2db089176ae6878e9ea7dd8fd80c3">GetNetworkFPS</a> ()</td></tr>
<tr class="memdesc:a9dd2db089176ae6878e9ea7dd8fd80c3 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the network frames per second (FPS).  <a href="group__tensorNet.html#a9dd2db089176ae6878e9ea7dd8fd80c3">More...</a><br /></td></tr>
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<tr class="memitem:a49faef5920860345e503023b7c84423c inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a49faef5920860345e503023b7c84423c">GetNetworkTime</a> ()</td></tr>
<tr class="memdesc:a49faef5920860345e503023b7c84423c inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the network runtime (in milliseconds).  <a href="group__tensorNet.html#a49faef5920860345e503023b7c84423c">More...</a><br /></td></tr>
<tr class="separator:a49faef5920860345e503023b7c84423c inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ade7badd98d5790b5a58863d56e61e041 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ade7badd98d5790b5a58863d56e61e041">GetNetworkName</a> () const</td></tr>
<tr class="memdesc:ade7badd98d5790b5a58863d56e61e041 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the network name (it's filename).  <a href="group__tensorNet.html#ade7badd98d5790b5a58863d56e61e041">More...</a><br /></td></tr>
<tr class="separator:ade7badd98d5790b5a58863d56e61e041 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad266f93035a80dca80cd84d971e4f69b inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">float2&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ad266f93035a80dca80cd84d971e4f69b">GetProfilerTime</a> (<a class="el" href="group__tensorNet.html#gae34d45c0faa674ef4cc0fbfc8fae5809">profilerQuery</a> query)</td></tr>
<tr class="memdesc:ad266f93035a80dca80cd84d971e4f69b inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the profiler runtime (in milliseconds).  <a href="group__tensorNet.html#ad266f93035a80dca80cd84d971e4f69b">More...</a><br /></td></tr>
<tr class="separator:ad266f93035a80dca80cd84d971e4f69b inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a27cf81b3fecf93d2e63a61220a54b393 inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">float&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a27cf81b3fecf93d2e63a61220a54b393">GetProfilerTime</a> (<a class="el" href="group__tensorNet.html#gae34d45c0faa674ef4cc0fbfc8fae5809">profilerQuery</a> query, <a class="el" href="group__tensorNet.html#gaaa4127ed22c7165a32d0474ebf97975e">profilerDevice</a> device)</td></tr>
<tr class="memdesc:a27cf81b3fecf93d2e63a61220a54b393 inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Retrieve the profiler runtime (in milliseconds).  <a href="group__tensorNet.html#a27cf81b3fecf93d2e63a61220a54b393">More...</a><br /></td></tr>
<tr class="separator:a27cf81b3fecf93d2e63a61220a54b393 inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afc0f50abcf6ac71e96d51eba3ed53d4b inherit pub_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#afc0f50abcf6ac71e96d51eba3ed53d4b">PrintProfilerTimes</a> ()</td></tr>
<tr class="memdesc:afc0f50abcf6ac71e96d51eba3ed53d4b inherit pub_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Print the profiler times (in millseconds).  <a href="group__tensorNet.html#afc0f50abcf6ac71e96d51eba3ed53d4b">More...</a><br /></td></tr>
<tr class="separator:afc0f50abcf6ac71e96d51eba3ed53d4b inherit pub_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr><td colspan="2"><h3>Static Public Member Functions</h3></td></tr>
<tr class="memitem:a5d882ef0255213a1950659b661f99424"><td class="memItemLeft" align="right" valign="top">static uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a5d882ef0255213a1950659b661f99424">VisualizationFlagsFromStr</a> (const char *str, uint32_t default_value=<a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476a8e00a42ee2103dc6081b8886553b9c91">VISUALIZE_INPUT</a>|<a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476a8675b85af577753f73916d1087ff3c4e">VISUALIZE_DEPTH</a>)</td></tr>
<tr class="memdesc:a5d882ef0255213a1950659b661f99424"><td class="mdescLeft">&#160;</td><td class="mdescRight">Parse a string of one of more VisualizationMode values.  <a href="group__depthNet.html#a5d882ef0255213a1950659b661f99424">More...</a><br /></td></tr>
<tr class="separator:a5d882ef0255213a1950659b661f99424"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ada432dd3799aaaa621330be631330165"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ada432dd3799aaaa621330be631330165">Create</a> (const char *network=&quot;fcn-mobilenet&quot;, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true)</td></tr>
<tr class="memdesc:ada432dd3799aaaa621330be631330165"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a pre-trained model.  <a href="group__depthNet.html#ada432dd3799aaaa621330be631330165">More...</a><br /></td></tr>
<tr class="separator:ada432dd3799aaaa621330be631330165"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a95e5c7e7a104179e01fad76c112487fc"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a95e5c7e7a104179e01fad76c112487fc">Create</a> (const char *model_path, const char *input=<a class="el" href="group__depthNet.html#gab90d8bf9344740081e4c51c014e73c52">DEPTHNET_DEFAULT_INPUT</a>, const char *output=<a class="el" href="group__depthNet.html#gadb112003697f3e8ecf1b40fb1a082ca8">DEPTHNET_DEFAULT_OUTPUT</a>, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true)</td></tr>
<tr class="memdesc:a95e5c7e7a104179e01fad76c112487fc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance.  <a href="group__depthNet.html#a95e5c7e7a104179e01fad76c112487fc">More...</a><br /></td></tr>
<tr class="separator:a95e5c7e7a104179e01fad76c112487fc"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a359fe5b280711445e8f4d1fa8735c61e"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a359fe5b280711445e8f4d1fa8735c61e">Create</a> (const char *model_path, const char *input, const <a class="el" href="tensorNet_8h.html#a64c8f3dfeacfa962ff9e23c586aedd1b">Dims3</a> &amp;inputDims, const char *output, uint32_t maxBatchSize=<a class="el" href="group__tensorNet.html#ga5a46a965749d6118e01307fd4d4865c9">DEFAULT_MAX_BATCH_SIZE</a>, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision=<a class="el" href="group__tensorNet.html#ggaac6604fd52c6e5db82877390e0378623a1d325738f49e8e4c424ff671624e66f9">TYPE_FASTEST</a>, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowGPUFallback=true)</td></tr>
<tr class="memdesc:a359fe5b280711445e8f4d1fa8735c61e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a custom network instance of a UFF model.  <a href="group__depthNet.html#a359fe5b280711445e8f4d1fa8735c61e">More...</a><br /></td></tr>
<tr class="separator:a359fe5b280711445e8f4d1fa8735c61e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3358a9469cb6613c630d5a3ebb28afba"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a3358a9469cb6613c630d5a3ebb28afba">Create</a> (int argc, char **argv)</td></tr>
<tr class="memdesc:a3358a9469cb6613c630d5a3ebb28afba"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance by parsing the command line.  <a href="group__depthNet.html#a3358a9469cb6613c630d5a3ebb28afba">More...</a><br /></td></tr>
<tr class="separator:a3358a9469cb6613c630d5a3ebb28afba"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afceb96deb3d8c5cf24980e7385ef6143"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#afceb96deb3d8c5cf24980e7385ef6143">Create</a> (const <a class="el" href="group__commandLine.html#classcommandLine">commandLine</a> &amp;cmdLine)</td></tr>
<tr class="memdesc:afceb96deb3d8c5cf24980e7385ef6143"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a new network instance by parsing the command line.  <a href="group__depthNet.html#afceb96deb3d8c5cf24980e7385ef6143">More...</a><br /></td></tr>
<tr class="separator:afceb96deb3d8c5cf24980e7385ef6143"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ade3376a680252cf2aa68f0f1945a6b71"><td class="memItemLeft" align="right" valign="top">static const char *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#ade3376a680252cf2aa68f0f1945a6b71">Usage</a> ()</td></tr>
<tr class="memdesc:ade3376a680252cf2aa68f0f1945a6b71"><td class="mdescLeft">&#160;</td><td class="mdescRight">Usage string for command line arguments to <a class="el" href="group__depthNet.html#ada432dd3799aaaa621330be631330165" title="Load a pre-trained model.">Create()</a>  <a href="group__depthNet.html#ade3376a680252cf2aa68f0f1945a6b71">More...</a><br /></td></tr>
<tr class="separator:ade3376a680252cf2aa68f0f1945a6b71"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pub_static_methods_group__tensorNet"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_group__tensorNet')"><img src="closed.png" alt="-"/>&#160;Static Public Member Functions inherited from <a class="el" href="group__tensorNet.html#classtensorNet">tensorNet</a></td></tr>
<tr class="memitem:a57cacfea82e9329c2cf776837dd00aef inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a57cacfea82e9329c2cf776837dd00aef">LoadClassLabels</a> (const char *filename, std::vector&lt; std::string &gt; &amp;descriptions, int expectedClasses=-1)</td></tr>
<tr class="memdesc:a57cacfea82e9329c2cf776837dd00aef inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load class descriptions from a label file.  <a href="group__tensorNet.html#a57cacfea82e9329c2cf776837dd00aef">More...</a><br /></td></tr>
<tr class="separator:a57cacfea82e9329c2cf776837dd00aef inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa92022958d3a46655a5e2f2ed416e6b5 inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#aa92022958d3a46655a5e2f2ed416e6b5">LoadClassLabels</a> (const char *filename, std::vector&lt; std::string &gt; &amp;descriptions, std::vector&lt; std::string &gt; &amp;synsets, int expectedClasses=-1)</td></tr>
<tr class="memdesc:aa92022958d3a46655a5e2f2ed416e6b5 inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load class descriptions and synset strings from a label file.  <a href="group__tensorNet.html#aa92022958d3a46655a5e2f2ed416e6b5">More...</a><br /></td></tr>
<tr class="separator:aa92022958d3a46655a5e2f2ed416e6b5 inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7b87410f9133aea37b46979d543219b9 inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a7b87410f9133aea37b46979d543219b9">LoadClassColors</a> (const char *filename, float4 *colors, int expectedClasses, float defaultAlpha=255.0f)</td></tr>
<tr class="memdesc:a7b87410f9133aea37b46979d543219b9 inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load class colors from a text file.  <a href="group__tensorNet.html#a7b87410f9133aea37b46979d543219b9">More...</a><br /></td></tr>
<tr class="separator:a7b87410f9133aea37b46979d543219b9 inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae5dd58e2481f6c703abb9abbcfce805e inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ae5dd58e2481f6c703abb9abbcfce805e">LoadClassColors</a> (const char *filename, float4 **colors, int expectedClasses, float defaultAlpha=255.0f)</td></tr>
<tr class="memdesc:ae5dd58e2481f6c703abb9abbcfce805e inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load class colors from a text file.  <a href="group__tensorNet.html#ae5dd58e2481f6c703abb9abbcfce805e">More...</a><br /></td></tr>
<tr class="separator:ae5dd58e2481f6c703abb9abbcfce805e inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4fe18908c74efda1708029ca3b04f0e8 inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static float4&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a4fe18908c74efda1708029ca3b04f0e8">GenerateColor</a> (uint32_t <a class="el" href="cudaPointCloud_8h.html#ad9bd89745d72dbc52651f62814eed36d">classID</a>, float <a class="el" href="cudaVector_8h.html#ac0d98a665e25ffa6d701a2ce2f6efd12">alpha</a>=255.0f)</td></tr>
<tr class="memdesc:a4fe18908c74efda1708029ca3b04f0e8 inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Procedurally generate a color for a given class index with the specified alpha value.  <a href="group__tensorNet.html#a4fe18908c74efda1708029ca3b04f0e8">More...</a><br /></td></tr>
<tr class="separator:a4fe18908c74efda1708029ca3b04f0e8 inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3c0509631176be6f9e25673cb0aa12dc inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a3c0509631176be6f9e25673cb0aa12dc">SelectPrecision</a> (<a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowInt8=true)</td></tr>
<tr class="memdesc:a3c0509631176be6f9e25673cb0aa12dc inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Resolve a desired precision to a specific one that's available.  <a href="group__tensorNet.html#a3c0509631176be6f9e25673cb0aa12dc">More...</a><br /></td></tr>
<tr class="separator:a3c0509631176be6f9e25673cb0aa12dc inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abe33fae5332296e2d917cb4ce435e255 inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#abe33fae5332296e2d917cb4ce435e255">FindFastestPrecision</a> (<a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>, bool allowInt8=true)</td></tr>
<tr class="memdesc:abe33fae5332296e2d917cb4ce435e255 inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Determine the fastest native precision on a device.  <a href="group__tensorNet.html#abe33fae5332296e2d917cb4ce435e255">More...</a><br /></td></tr>
<tr class="separator:abe33fae5332296e2d917cb4ce435e255 inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae88436e652afdd7bceef7cb7c5fde7a6 inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static std::vector&lt; <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ae88436e652afdd7bceef7cb7c5fde7a6">DetectNativePrecisions</a> (<a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>)</td></tr>
<tr class="memdesc:ae88436e652afdd7bceef7cb7c5fde7a6 inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Detect the precisions supported natively on a device.  <a href="group__tensorNet.html#ae88436e652afdd7bceef7cb7c5fde7a6">More...</a><br /></td></tr>
<tr class="separator:ae88436e652afdd7bceef7cb7c5fde7a6 inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa3bf1a3bf1fca38b39a200b4d8f727b2 inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#aa3bf1a3bf1fca38b39a200b4d8f727b2">DetectNativePrecision</a> (const std::vector&lt; <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> &gt; &amp;nativeTypes, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> type)</td></tr>
<tr class="memdesc:aa3bf1a3bf1fca38b39a200b4d8f727b2 inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Detect if a particular precision is supported natively.  <a href="group__tensorNet.html#aa3bf1a3bf1fca38b39a200b4d8f727b2">More...</a><br /></td></tr>
<tr class="separator:aa3bf1a3bf1fca38b39a200b4d8f727b2 inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7d72ec8bbaf61278ce533afd60d5391c inherit pub_static_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">static bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a7d72ec8bbaf61278ce533afd60d5391c">DetectNativePrecision</a> (<a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device=<a class="el" href="group__tensorNet.html#ggaa5d3f9981cdbd91516c1474006a80fe4adc7f3f88455afa81458863e5b3092e4b">DEVICE_GPU</a>)</td></tr>
<tr class="memdesc:a7d72ec8bbaf61278ce533afd60d5391c inherit pub_static_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Detect if a particular precision is supported natively.  <a href="group__tensorNet.html#a7d72ec8bbaf61278ce533afd60d5391c">More...</a><br /></td></tr>
<tr class="separator:a7d72ec8bbaf61278ce533afd60d5391c inherit pub_static_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr><td colspan="2"><h3>Protected Member Functions</h3></td></tr>
<tr class="memitem:a7b7805b7e1875bd7138e19a9949f1318"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a7b7805b7e1875bd7138e19a9949f1318">depthNet</a> ()</td></tr>
<tr class="separator:a7b7805b7e1875bd7138e19a9949f1318"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a145bebabbf410e9e74e0d8a040015b1d"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a145bebabbf410e9e74e0d8a040015b1d">allocHistogramBuffers</a> ()</td></tr>
<tr class="separator:a145bebabbf410e9e74e0d8a040015b1d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:add24f089796c78eabfdf5edaeb001374"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#add24f089796c78eabfdf5edaeb001374">histogramEqualization</a> ()</td></tr>
<tr class="separator:add24f089796c78eabfdf5edaeb001374"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8fb7e1b625a0b9f6d4e046863aceb6ec"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a8fb7e1b625a0b9f6d4e046863aceb6ec">histogramEqualizationCUDA</a> ()</td></tr>
<tr class="separator:a8fb7e1b625a0b9f6d4e046863aceb6ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_methods_group__tensorNet"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_group__tensorNet')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="group__tensorNet.html#classtensorNet">tensorNet</a></td></tr>
<tr class="memitem:ab6e617d96e5542bef023ee9d4c96388a inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ab6e617d96e5542bef023ee9d4c96388a">tensorNet</a> ()</td></tr>
<tr class="memdesc:ab6e617d96e5542bef023ee9d4c96388a inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="group__tensorNet.html#ab6e617d96e5542bef023ee9d4c96388a">More...</a><br /></td></tr>
<tr class="separator:ab6e617d96e5542bef023ee9d4c96388a inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2e8dd909e797dfcfbb058dc6b351c586 inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2e8dd909e797dfcfbb058dc6b351c586">ProcessNetwork</a> (bool sync=true)</td></tr>
<tr class="memdesc:a2e8dd909e797dfcfbb058dc6b351c586 inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Execute processing of the network.  <a href="group__tensorNet.html#a2e8dd909e797dfcfbb058dc6b351c586">More...</a><br /></td></tr>
<tr class="separator:a2e8dd909e797dfcfbb058dc6b351c586 inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2fbc013f70b52f885867302446e0dca1 inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2fbc013f70b52f885867302446e0dca1">ProfileModel</a> (const std::string &amp;deployFile, const std::string &amp;modelFile, const std::vector&lt; std::string &gt; &amp;inputs, const std::vector&lt; <a class="el" href="tensorNet_8h.html#a64c8f3dfeacfa962ff9e23c586aedd1b">Dims3</a> &gt; &amp;inputDims, const std::vector&lt; std::string &gt; &amp;outputs, uint32_t maxBatchSize, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator, char **engineStream, size_t *engineSize)</td></tr>
<tr class="memdesc:a2fbc013f70b52f885867302446e0dca1 inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create and output an optimized network model.  <a href="group__tensorNet.html#a2fbc013f70b52f885867302446e0dca1">More...</a><br /></td></tr>
<tr class="separator:a2fbc013f70b52f885867302446e0dca1 inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7a898dfb2553869cdc318ecb03e153f1 inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a7a898dfb2553869cdc318ecb03e153f1">ConfigureBuilder</a> (nvinfer1::IBuilder *builder, uint32_t maxBatchSize, uint32_t workspaceSize, <a class="el" href="group__tensorNet.html#gaac6604fd52c6e5db82877390e0378623">precisionType</a> precision, <a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a> device, bool allowGPUFallback, nvinfer1::IInt8Calibrator *calibrator)</td></tr>
<tr class="memdesc:a7a898dfb2553869cdc318ecb03e153f1 inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Configure builder options.  <a href="group__tensorNet.html#a7a898dfb2553869cdc318ecb03e153f1">More...</a><br /></td></tr>
<tr class="separator:a7a898dfb2553869cdc318ecb03e153f1 inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6e2fe0a467929d76b20940771b8f96c3 inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a6e2fe0a467929d76b20940771b8f96c3">ValidateEngine</a> (const char *model_path, const char *cache_path, const char *checksum_path)</td></tr>
<tr class="memdesc:a6e2fe0a467929d76b20940771b8f96c3 inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Validate that the model already has a built TensorRT engine that exists and doesn't need updating.  <a href="group__tensorNet.html#a6e2fe0a467929d76b20940771b8f96c3">More...</a><br /></td></tr>
<tr class="separator:a6e2fe0a467929d76b20940771b8f96c3 inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a088c3bf591e45e52ec227491f6f299ad inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a088c3bf591e45e52ec227491f6f299ad">PROFILER_BEGIN</a> (<a class="el" href="group__tensorNet.html#gae34d45c0faa674ef4cc0fbfc8fae5809">profilerQuery</a> query)</td></tr>
<tr class="memdesc:a088c3bf591e45e52ec227491f6f299ad inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Begin a profiling query, before network is run.  <a href="group__tensorNet.html#a088c3bf591e45e52ec227491f6f299ad">More...</a><br /></td></tr>
<tr class="separator:a088c3bf591e45e52ec227491f6f299ad inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac8582b9a6099e3265da4c3f9fdf804ea inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ac8582b9a6099e3265da4c3f9fdf804ea">PROFILER_END</a> (<a class="el" href="group__tensorNet.html#gae34d45c0faa674ef4cc0fbfc8fae5809">profilerQuery</a> query)</td></tr>
<tr class="memdesc:ac8582b9a6099e3265da4c3f9fdf804ea inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">End a profiling query, after the network is run.  <a href="group__tensorNet.html#ac8582b9a6099e3265da4c3f9fdf804ea">More...</a><br /></td></tr>
<tr class="separator:ac8582b9a6099e3265da4c3f9fdf804ea inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae2e0ae17baf6e1975aaad7a7f5c60ce9 inherit pro_methods_group__tensorNet"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#ae2e0ae17baf6e1975aaad7a7f5c60ce9">PROFILER_QUERY</a> (<a class="el" href="group__tensorNet.html#gae34d45c0faa674ef4cc0fbfc8fae5809">profilerQuery</a> query)</td></tr>
<tr class="memdesc:ae2e0ae17baf6e1975aaad7a7f5c60ce9 inherit pro_methods_group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Query the CUDA part of a profiler query.  <a href="group__tensorNet.html#ae2e0ae17baf6e1975aaad7a7f5c60ce9">More...</a><br /></td></tr>
<tr class="separator:ae2e0ae17baf6e1975aaad7a7f5c60ce9 inherit pro_methods_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr><td colspan="2"><h3>Protected Attributes</h3></td></tr>
<tr class="memitem:a25ba6711b1c348cf92f0e8c06b703719"><td class="memItemLeft" align="right" valign="top">int2 *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a25ba6711b1c348cf92f0e8c06b703719">mDepthRange</a></td></tr>
<tr class="separator:a25ba6711b1c348cf92f0e8c06b703719"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a927a4ae2ab52da379e1c5576f3d3fc37"><td class="memItemLeft" align="right" valign="top">float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a927a4ae2ab52da379e1c5576f3d3fc37">mDepthEqualized</a></td></tr>
<tr class="separator:a927a4ae2ab52da379e1c5576f3d3fc37"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a397efef0c43950e8aa2048bf4cf1b1b8"><td class="memItemLeft" align="right" valign="top">uint32_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a397efef0c43950e8aa2048bf4cf1b1b8">mHistogram</a></td></tr>
<tr class="separator:a397efef0c43950e8aa2048bf4cf1b1b8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8f9f8636a7bf4c3bbf6da267b550a136"><td class="memItemLeft" align="right" valign="top">float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a8f9f8636a7bf4c3bbf6da267b550a136">mHistogramPDF</a></td></tr>
<tr class="separator:a8f9f8636a7bf4c3bbf6da267b550a136"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a1928879f3bb2f489d93c0d122ce2dc4b"><td class="memItemLeft" align="right" valign="top">float *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a1928879f3bb2f489d93c0d122ce2dc4b">mHistogramCDF</a></td></tr>
<tr class="separator:a1928879f3bb2f489d93c0d122ce2dc4b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a91a76621c0a3ce9d0b12acc52e6061a9"><td class="memItemLeft" align="right" valign="top">uint32_t *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__depthNet.html#a91a76621c0a3ce9d0b12acc52e6061a9">mHistogramEDU</a></td></tr>
<tr class="separator:a91a76621c0a3ce9d0b12acc52e6061a9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="inherit_header pro_attribs_group__tensorNet"><td colspan="2" onclick="javascript:toggleInherit('pro_attribs_group__tensorNet')"><img src="closed.png" alt="-"/>&#160;Protected Attributes inherited from <a class="el" href="group__tensorNet.html#classtensorNet">tensorNet</a></td></tr>
<tr class="memitem:a0c6f7cc68ce87e0701029d40b46d1b81 inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtensorNet_1_1Logger.html">tensorNet::Logger</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a0c6f7cc68ce87e0701029d40b46d1b81">gLogger</a></td></tr>
<tr class="separator:a0c6f7cc68ce87e0701029d40b46d1b81 inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a70f38033952477e55e2ecdc54f908968 inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classtensorNet_1_1Profiler.html">tensorNet::Profiler</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a70f38033952477e55e2ecdc54f908968">gProfiler</a></td></tr>
<tr class="separator:a70f38033952477e55e2ecdc54f908968 inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a54005b86b851fa71aeb7a83d4ad32362 inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a54005b86b851fa71aeb7a83d4ad32362">mPrototxtPath</a></td></tr>
<tr class="separator:a54005b86b851fa71aeb7a83d4ad32362 inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a7cb91e06b296431680d20e7e9fb0187d inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a7cb91e06b296431680d20e7e9fb0187d">mModelPath</a></td></tr>
<tr class="separator:a7cb91e06b296431680d20e7e9fb0187d inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a338246dc13b84166ee5ea917d84379aa inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a338246dc13b84166ee5ea917d84379aa">mModelFile</a></td></tr>
<tr class="separator:a338246dc13b84166ee5ea917d84379aa inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a11eeaa1e454a97a5634c7fb5ea1bc23d inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a11eeaa1e454a97a5634c7fb5ea1bc23d">mMeanPath</a></td></tr>
<tr class="separator:a11eeaa1e454a97a5634c7fb5ea1bc23d inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aaa9ac0fae88a426f1a5325886da3b009 inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#aaa9ac0fae88a426f1a5325886da3b009">mCacheEnginePath</a></td></tr>
<tr class="separator:aaa9ac0fae88a426f1a5325886da3b009 inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a64fccb1894b0926e54a18fa47a271c70 inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a64fccb1894b0926e54a18fa47a271c70">mCacheCalibrationPath</a></td></tr>
<tr class="separator:a64fccb1894b0926e54a18fa47a271c70 inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abc88c21d81ca66f8c10d22910c995765 inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#abc88c21d81ca66f8c10d22910c995765">mChecksumPath</a></td></tr>
<tr class="separator:abc88c21d81ca66f8c10d22910c995765 inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2f14a2f4a4dfbb51b80f80a2e47a695c inherit pro_attribs_group__tensorNet"><td class="memItemLeft" align="right" valign="top"><a class="el" href="group__tensorNet.html#gaa5d3f9981cdbd91516c1474006a80fe4">deviceType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html#a2f14a2f4a4dfbb51b80f80a2e47a695c">mDevice</a></td></tr>
<tr class="separator:a2f14a2f4a4dfbb51b80f80a2e47a695c inherit pro_attribs_group__tensorNet"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<h4 class="groupheader">Member Enumeration Documentation</h4>
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<h2 class="memtitle"><span class="permalink"><a href="#a79173edc788bdf267e4622ad0f52e476">&#9670;&nbsp;</a></span>VisualizationFlags</h2>

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<p>Visualization flags. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0a627d1a246d2eaf92e5ee3c33b8e964">&#9670;&nbsp;</a></span>~depthNet()</h2>

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<p>Destroy. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a7b7805b7e1875bd7138e19a9949f1318">&#9670;&nbsp;</a></span>depthNet()</h2>

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<h4 class="groupheader">Member Function Documentation</h4>
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<h2 class="memtitle"><span class="permalink"><a href="#a145bebabbf410e9e74e0d8a040015b1d">&#9670;&nbsp;</a></span>allocHistogramBuffers()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a359fe5b280711445e8f4d1fa8735c61e">&#9670;&nbsp;</a></span>Create() <span class="overload">[1/5]</span></h2>

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          <td class="memname">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a>* depthNet::Create </td>
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<p>Load a custom network instance of a UFF model. </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a95e5c7e7a104179e01fad76c112487fc">&#9670;&nbsp;</a></span>Create() <span class="overload">[2/5]</span></h2>

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          <td class="memname">static <a class="el" href="group__depthNet.html#classdepthNet">depthNet</a>* depthNet::Create </td>
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<p>Load a new network instance. </p>
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<p>Load a pre-trained model. </p>
<dl class="section see"><dt>See also</dt><dd><a class="el" href="group__depthNet.html#gaf7fedcbd0339376e367939bbcecdd884" title="Command-line options able to be passed to depthNet::Create()">DEPTHNET_USAGE_STRING</a> for the available models. </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#afceb96deb3d8c5cf24980e7385ef6143">&#9670;&nbsp;</a></span>Create() <span class="overload">[4/5]</span></h2>

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<p>Load a new network instance by parsing the command line. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a3358a9469cb6613c630d5a3ebb28afba">&#9670;&nbsp;</a></span>Create() <span class="overload">[5/5]</span></h2>

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<p>Load a new network instance by parsing the command line. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a96554b8c9ba3e710de7fe45f9edc8fc7">&#9670;&nbsp;</a></span>GetDepthField()</h2>

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<p>Return the raw depth field. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a5080fdfd97015e8e77aba3e33275ac37">&#9670;&nbsp;</a></span>GetDepthFieldHeight()</h2>

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<p>Return the height of the depth field. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a67957d14b680b3d2ef001a55727e3f1d">&#9670;&nbsp;</a></span>GetDepthFieldWidth()</h2>

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<p>Return the width of the depth field. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#add24f089796c78eabfdf5edaeb001374">&#9670;&nbsp;</a></span>histogramEqualization()</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a8fb7e1b625a0b9f6d4e046863aceb6ec">&#9670;&nbsp;</a></span>histogramEqualizationCUDA()</h2>

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<p>Compute the depth field from a monocular RGB/RGBA image. </p>
<dl class="section note"><dt>Note</dt><dd>the raw depth field can be retrieved with <a class="el" href="group__depthNet.html#a96554b8c9ba3e710de7fe45f9edc8fc7" title="Return the raw depth field.">GetDepthField()</a>. </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#a2e1120d461756c4cab61cde797e43d0f">&#9670;&nbsp;</a></span>Process() <span class="overload">[2/6]</span></h2>

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          <td class="paramtype"><a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a>&#160;</td>
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<p><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap. </p>
<dl class="section note"><dt>Note</dt><dd>this function calls <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> followed by <a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963" title="Visualize the raw depth field into a colorized RGB/RGBA depth map.">Visualize()</a>. </dd></dl>

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<p><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap. </p>
<dl class="section note"><dt>Note</dt><dd>this function calls <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> followed by <a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963" title="Visualize the raw depth field into a colorized RGB/RGBA depth map.">Visualize()</a>. </dd></dl>

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<p><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap. </p>
<dl class="section note"><dt>Note</dt><dd>this function calls <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> followed by <a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963" title="Visualize the raw depth field into a colorized RGB/RGBA depth map.">Visualize()</a>. </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#ae4c0f50fd02fa33a9fde9663d2e9644b">&#9670;&nbsp;</a></span>Process() <span class="overload">[5/6]</span></h2>

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          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>output_width</em>, </td>
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          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>output_height</em>, </td>
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        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a>&#160;</td>
          <td class="paramname"><em>output_format</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a>&#160;</td>
          <td class="paramname"><em>colormap</em> = <code><a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a></code>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a>&#160;</td>
          <td class="paramname"><em>filter</em> = <code><a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a></code>&#160;</td>
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          <td></td>
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<p><a class="el" href="group__threads.html#classProcess" title="Static functions for retrieving information about the running process.">Process</a> an RGB/RGBA image and map the depth image with the specified colormap. </p>
<dl class="section note"><dt>Note</dt><dd>this function calls <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> followed by <a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963" title="Visualize the raw depth field into a colorized RGB/RGBA depth map.">Visualize()</a>. </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#a19fc522018f37ee1fdf04c3b7bfd16bf">&#9670;&nbsp;</a></span>Process() <span class="overload">[6/6]</span></h2>

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          <td class="paramtype">void *&#160;</td>
          <td class="paramname"><em>input</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
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        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>, </td>
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        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a>&#160;</td>
          <td class="paramname"><em>format</em>&#160;</td>
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        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
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<p>Compute the depth field from a monocular RGB/RGBA image. </p>
<dl class="section note"><dt>Note</dt><dd>the raw depth field can be retrieved with <a class="el" href="group__depthNet.html#a96554b8c9ba3e710de7fe45f9edc8fc7" title="Return the raw depth field.">GetDepthField()</a>. </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#a9a9695fc22a0468a1688cfeaf806ce8b">&#9670;&nbsp;</a></span>SavePointCloud() <span class="overload">[1/5]</span></h2>

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          <td class="memname">bool depthNet::SavePointCloud </td>
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          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>filename</em></td><td>)</td>
          <td></td>
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<p>Extract and save the point cloud to a PCD file (depth only). </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b" title="Extract and save the point cloud to a PCD file (depth only).">SavePointCloud()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#ad01be46480fa316d3f67fe12a8edf35a">&#9670;&nbsp;</a></span>SavePointCloud() <span class="overload">[2/5]</span></h2>

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          <td class="memname">bool depthNet::SavePointCloud </td>
          <td>(</td>
          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>filename</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>rgba</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>&#160;</td>
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        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
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<p>Extract and save the point cloud to a PCD file (depth + RGB). </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b" title="Extract and save the point cloud to a PCD file (depth only).">SavePointCloud()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#a677b20759a8a435528a6d42ce035eda2">&#9670;&nbsp;</a></span>SavePointCloud() <span class="overload">[3/5]</span></h2>

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          <td class="memname">bool depthNet::SavePointCloud </td>
          <td>(</td>
          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>filename</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>rgba</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>intrinsicCalibrationPath</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
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<p>Extract and save the point cloud to a PCD file (depth + RGB). </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b" title="Extract and save the point cloud to a PCD file (depth only).">SavePointCloud()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#a76b1e562c92c39f1eb99e94c35672c2f">&#9670;&nbsp;</a></span>SavePointCloud() <span class="overload">[4/5]</span></h2>

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          <td class="memname">bool depthNet::SavePointCloud </td>
          <td>(</td>
          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>filename</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>rgba</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float&#160;</td>
          <td class="paramname"><em>intrinsicCalibration</em>[3][3]&#160;</td>
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          <td></td>
          <td>)</td>
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<p>Extract and save the point cloud to a PCD file (depth + RGB). </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b" title="Extract and save the point cloud to a PCD file (depth only).">SavePointCloud()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#ac6c74dcfdf29aa9dee4c8315cd29ae93">&#9670;&nbsp;</a></span>SavePointCloud() <span class="overload">[5/5]</span></h2>

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          <td class="memname">bool depthNet::SavePointCloud </td>
          <td>(</td>
          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>filename</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">float *&#160;</td>
          <td class="paramname"><em>rgba</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const float2 &amp;&#160;</td>
          <td class="paramname"><em>focalLength</em>, </td>
        </tr>
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          <td class="paramkey"></td>
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          <td class="paramtype">const float2 &amp;&#160;</td>
          <td class="paramname"><em>principalPoint</em>&#160;</td>
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          <td>)</td>
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<p>Extract and save the point cloud to a PCD file (depth + RGB). </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#a9a9695fc22a0468a1688cfeaf806ce8b" title="Extract and save the point cloud to a PCD file (depth only).">SavePointCloud()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#ade3376a680252cf2aa68f0f1945a6b71">&#9670;&nbsp;</a></span>Usage()</h2>

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<p>Usage string for command line arguments to <a class="el" href="group__depthNet.html#ada432dd3799aaaa621330be631330165" title="Load a pre-trained model.">Create()</a> </p>

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<h2 class="memtitle"><span class="permalink"><a href="#a5d882ef0255213a1950659b661f99424">&#9670;&nbsp;</a></span>VisualizationFlagsFromStr()</h2>

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          <td class="paramtype">const char *&#160;</td>
          <td class="paramname"><em>str</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>default_value</em> = <code><a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476a8e00a42ee2103dc6081b8886553b9c91">VISUALIZE_INPUT</a>|<a class="el" href="group__depthNet.html#a79173edc788bdf267e4622ad0f52e476a8675b85af577753f73916d1087ff3c4e">VISUALIZE_DEPTH</a></code>&#160;</td>
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<p>Parse a string of one of more VisualizationMode values. </p>
<p>Valid strings are "depth" "input" "input|depth" "input,depth" ect. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#ae7d152624a7678216ac148e6d025e963">&#9670;&nbsp;</a></span>Visualize() <span class="overload">[1/2]</span></h2>

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          <td class="paramtype">T *&#160;</td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a>&#160;</td>
          <td class="paramname"><em>colormap</em> = <code><a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a></code>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a>&#160;</td>
          <td class="paramname"><em>filter</em> = <code><a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a></code>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td></td>
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<p>Visualize the raw depth field into a colorized RGB/RGBA depth map. </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963" title="Visualize the raw depth field into a colorized RGB/RGBA depth map.">Visualize()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h2 class="memtitle"><span class="permalink"><a href="#a9c9929c2de3c67133fc523814e380836">&#9670;&nbsp;</a></span>Visualize() <span class="overload">[2/2]</span></h2>

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          <td class="memname">bool depthNet::Visualize </td>
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          <td class="paramtype">void *&#160;</td>
          <td class="paramname"><em>output</em>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>width</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">uint32_t&#160;</td>
          <td class="paramname"><em>height</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__imageFormat.html#ga931c48e08f361637d093355d64583406">imageFormat</a>&#160;</td>
          <td class="paramname"><em>format</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__colormap.html#gab66101108d92e39f9ab9283c31da3550">cudaColormapType</a>&#160;</td>
          <td class="paramname"><em>colormap</em> = <code><a class="el" href="group__colormap.html#ggab66101108d92e39f9ab9283c31da3550a02b62792467077e77c5d4cdc8e9e1968">COLORMAP_DEFAULT</a></code>, </td>
        </tr>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="group__cudaFilter.html#ga25d4283643163befe99948d24cc53311">cudaFilterMode</a>&#160;</td>
          <td class="paramname"><em>filter</em> = <code><a class="el" href="group__cudaFilter.html#gga25d4283643163befe99948d24cc53311ad8e5de74ec16a7e07145b7c18c885094">FILTER_LINEAR</a></code>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
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<p>Visualize the raw depth field into a colorized RGB/RGBA depth map. </p>
<dl class="section note"><dt>Note</dt><dd><a class="el" href="group__depthNet.html#ae7d152624a7678216ac148e6d025e963" title="Visualize the raw depth field into a colorized RGB/RGBA depth map.">Visualize()</a> should only be called after <a class="el" href="group__depthNet.html#afca2eec512a7d7945a9e404eb8e40a56" title="Compute the depth field from a monocular RGB/RGBA image.">Process()</a> </dd></dl>

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<h4 class="groupheader">Member Data Documentation</h4>
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<h2 class="memtitle"><span class="permalink"><a href="#a927a4ae2ab52da379e1c5576f3d3fc37">&#9670;&nbsp;</a></span>mDepthEqualized</h2>

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<h2 class="memtitle"><span class="permalink"><a href="#a25ba6711b1c348cf92f0e8c06b703719">&#9670;&nbsp;</a></span>mDepthRange</h2>

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<h2 class="groupheader">Macro Definition Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#gab90d8bf9344740081e4c51c014e73c52">&#9670;&nbsp;</a></span>DEPTHNET_DEFAULT_INPUT</h2>

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          <td class="memname">#define DEPTHNET_DEFAULT_INPUT&#160;&#160;&#160;&quot;input_0&quot;</td>
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<p>Name of default input blob for <a class="el" href="group__depthNet.html#classdepthNet" title="Mono depth estimation from monocular images, using TensorRT.">depthNet</a> model. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#gadb112003697f3e8ecf1b40fb1a082ca8">&#9670;&nbsp;</a></span>DEPTHNET_DEFAULT_OUTPUT</h2>

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<p>Name of default output blob for <a class="el" href="group__depthNet.html#classdepthNet" title="Mono depth estimation from monocular images, using TensorRT.">depthNet</a> model. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#ga911dc4ffefb7f5e9f88bead199492bd8">&#9670;&nbsp;</a></span>DEPTHNET_MODEL_TYPE</h2>

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<p>The model type for <a class="el" href="group__depthNet.html#classdepthNet" title="Mono depth estimation from monocular images, using TensorRT.">depthNet</a> in data/networks/models.json. </p>

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<h2 class="memtitle"><span class="permalink"><a href="#gaf7fedcbd0339376e367939bbcecdd884">&#9670;&nbsp;</a></span>DEPTHNET_USAGE_STRING</h2>

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<b>Value:</b><div class="fragment"><div class="line">                  <span class="stringliteral">&quot;depthNet arguments: \n&quot;</span>                                                      \</div>
<div class="line">                  <span class="stringliteral">&quot;  --network NETWORK    pre-trained model to load, one of the following:\n&quot;</span>   \</div>
<div class="line">                  <span class="stringliteral">&quot;                           * fcn-mobilenet\n&quot;</span>                                        \</div>
<div class="line">                  <span class="stringliteral">&quot;                           * fcn-resnet18\n&quot;</span>                                         \</div>
<div class="line">                  <span class="stringliteral">&quot;                           * fcn-resnet50\n&quot;</span>                                         \</div>
<div class="line">                  <span class="stringliteral">&quot;  --model MODEL        path to custom model to load (onnx)\n&quot;</span>                        \</div>
<div class="line">                  <span class="stringliteral">&quot;  --input_blob INPUT   name of the input layer (default is &#39;&quot;</span> <a class="code" href="group__depthNet.html#gab90d8bf9344740081e4c51c014e73c52">DEPTHNET_DEFAULT_INPUT</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>  \</div>
<div class="line">                  <span class="stringliteral">&quot;  --output_blob OUTPUT name of the output layer (default is &#39;&quot;</span> <a class="code" href="group__depthNet.html#gadb112003697f3e8ecf1b40fb1a082ca8">DEPTHNET_DEFAULT_OUTPUT</a> <span class="stringliteral">&quot;&#39;)\n&quot;</span>        \</div>
<div class="line">                  <span class="stringliteral">&quot;  --profile            enable layer profiling in TensorRT\n\n&quot;</span></div>
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<p>Command-line options able to be passed to <a class="el" href="group__depthNet.html#ada432dd3799aaaa621330be631330165" title="Load a pre-trained model.">depthNet::Create()</a> </p>

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<div class="ttc" id="agroup__depthNet_html_gadb112003697f3e8ecf1b40fb1a082ca8"><div class="ttname"><a href="group__depthNet.html#gadb112003697f3e8ecf1b40fb1a082ca8">DEPTHNET_DEFAULT_OUTPUT</a></div><div class="ttdeci">#define DEPTHNET_DEFAULT_OUTPUT</div><div class="ttdoc">Name of default output blob for depthNet model.</div><div class="ttdef"><b>Definition:</b> depthNet.h:40</div></div>
<div class="ttc" id="agroup__depthNet_html_gab90d8bf9344740081e4c51c014e73c52"><div class="ttname"><a href="group__depthNet.html#gab90d8bf9344740081e4c51c014e73c52">DEPTHNET_DEFAULT_INPUT</a></div><div class="ttdeci">#define DEPTHNET_DEFAULT_INPUT</div><div class="ttdoc">Name of default input blob for depthNet model.</div><div class="ttdef"><b>Definition:</b> depthNet.h:34</div></div>
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